Summary
MindPeak is an innovative start-up that builds diagnostic support tools for cancer diagnosis. Our Artificial Intelligence (AI) software analyses biopsy slides within seconds to find tumour regions and quantify tumour markers to prepare them for visual inspection by the pathologist. In 2018, the number of diagnosed cancer cases has grown to 18 million globally.
Consequently, the demand for cancer diagnosis to determine appropriate treatment has never been higher. Cancer diagnosis nowadays is a very time-consuming process and depends heavily on the knowledge and experience of specialised pathologists. Unfortunately, the number of experts can no longer meet the quickly increasing demand. As a result, patients must wait longer than necessary for their diagnosis.
To overcome this challenge, MindPeak provides solutions based on deep learning to support pathologists in their diagnosis. Patients benefit from increased accuracy and a faster turn around time of diagnosis as well as reduced costs. The key USP of our AI is its reliability in the clinical context with its variations across and within labs. Funding from the EIC Accelerator will help us with a successful and fast go-to-market of our solutions that cover crucial improvements for cancer patients. With our technology, we address the market for pathology with a current size of $17.3 bn worldwide and an annual growth rate of 6.5%.
Consequently, the demand for cancer diagnosis to determine appropriate treatment has never been higher. Cancer diagnosis nowadays is a very time-consuming process and depends heavily on the knowledge and experience of specialised pathologists. Unfortunately, the number of experts can no longer meet the quickly increasing demand. As a result, patients must wait longer than necessary for their diagnosis.
To overcome this challenge, MindPeak provides solutions based on deep learning to support pathologists in their diagnosis. Patients benefit from increased accuracy and a faster turn around time of diagnosis as well as reduced costs. The key USP of our AI is its reliability in the clinical context with its variations across and within labs. Funding from the EIC Accelerator will help us with a successful and fast go-to-market of our solutions that cover crucial improvements for cancer patients. With our technology, we address the market for pathology with a current size of $17.3 bn worldwide and an annual growth rate of 6.5%.
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More information & hyperlinks
Web resources: | https://cordis.europa.eu/project/id/960426 |
Start date: | 01-08-2020 |
End date: | 31-07-2022 |
Total budget - Public funding: | 1 960 540,00 Euro - 1 372 378,00 Euro |
Cordis data
Original description
MindPeak is an innovative start-up that builds diagnostic support tools for cancer diagnosis. Our Artificial Intelligence (AI) software analyses biopsy slides within seconds to find tumour regions and quantify tumour markers to prepare them for visual inspection by the pathologist. In 2018, the number of diagnosed cancer cases has grown to 18 million globally.Consequently, the demand for cancer diagnosis to determine appropriate treatment has never been higher. Cancer diagnosis nowadays is a very time-consuming process and depends heavily on the knowledge and experience of specialised pathologists. Unfortunately, the number of experts can no longer meet the quickly increasing demand. As a result, patients must wait longer than necessary for their diagnosis.
To overcome this challenge, MindPeak provides solutions based on deep learning to support pathologists in their diagnosis. Patients benefit from increased accuracy and a faster turn around time of diagnosis as well as reduced costs. The key USP of our AI is its reliability in the clinical context with its variations across and within labs. Funding from the EIC Accelerator will help us with a successful and fast go-to-market of our solutions that cover crucial improvements for cancer patients. With our technology, we address the market for pathology with a current size of $17.3 bn worldwide and an annual growth rate of 6.5%.
Status
CLOSEDCall topic
EIC-SMEInst-2018-2020Update Date
27-10-2022
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